TY - JOUR
T1 - What do neuroanatomical networks reveal about the ontology of human cognitive abilities?
AU - Kristanto, Daniel
AU - Liu, Xinyang
AU - Sommer, Werner
AU - Hildebrandt, Andrea
AU - Zhou, Changsong
N1 - Funding Information:
This work was supported by the Hong Kong Research Grant Council (RGC) (HKBU12301019, HKBU12200620) and the Hong Kong Baptist University (HKBU) Research Committee Interdisciplinary Research Matching Scheme (IRMS/16-17/04, IRCMS/18-19/SCI01). This research was conducted using the resources of the High-Performance Computing Cluster Center, HKBU, which receives funding from the RGC, the University Grants Committee of the HKSAR andHKBU.
Publisher Copyright:
© 2022 The Authors.
PY - 2022/8/19
Y1 - 2022/8/19
N2 - Over the last decades, cognitive psychology has come to a fair consensus about the human intelligence ontological structure. However, it remains an open question whether anatomical properties of the brain support the same ontology. The present study explored the ontological structure derived from neuroanatomical networks associated with performance on 15 cognitive tasks indicating various abilities. Results suggest that the brain-derived (neurometric) ontology partly agrees with the cognitive performance-derived (psychometric) ontology complemented with interpretable differences. Moreover, the cortical areas associated with different inferred abilities are segregated, with little or no overlap. Nevertheless, these spatially segregated cortical areas are integrated via denser white matter structural connections as compared with the general brain connectome. The integration of ability-related cortical networks constitutes a neural counterpart to the psychometric construct of general intelligence, while the consistency and difference between psychometric and neurometric ontologies represent crucial pieces of knowledge for theory building, clinical diagnostics, and treatment.
AB - Over the last decades, cognitive psychology has come to a fair consensus about the human intelligence ontological structure. However, it remains an open question whether anatomical properties of the brain support the same ontology. The present study explored the ontological structure derived from neuroanatomical networks associated with performance on 15 cognitive tasks indicating various abilities. Results suggest that the brain-derived (neurometric) ontology partly agrees with the cognitive performance-derived (psychometric) ontology complemented with interpretable differences. Moreover, the cortical areas associated with different inferred abilities are segregated, with little or no overlap. Nevertheless, these spatially segregated cortical areas are integrated via denser white matter structural connections as compared with the general brain connectome. The integration of ability-related cortical networks constitutes a neural counterpart to the psychometric construct of general intelligence, while the consistency and difference between psychometric and neurometric ontologies represent crucial pieces of knowledge for theory building, clinical diagnostics, and treatment.
KW - Cognitive neuroscience
KW - Systems neuroscience
UR - http://www.scopus.com/inward/record.url?scp=85134331254&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2022.104706
DO - 10.1016/j.isci.2022.104706
M3 - Journal article
AN - SCOPUS:85134331254
SN - 2589-0042
VL - 25
JO - iScience
JF - iScience
IS - 8
M1 - 104706
ER -